2 citations · 2 across the 11 of their papers we have counts for
4 papers · 1 filter
CB-Agent: Concept-Based In-Context Learning for Sequential Action Selection
Qingyue Zhang, Huaze Tang, Minyu Zhang +3
In-context learning (ICL) allows large language models to use demonstrations without updating their parameters. For interactive agents, demonstrations are trajectories of reasoning…
Proactive Service Agents: A Unified Decision Framework, Methods, and Evaluation
Yan Tang, Tingyu Cao, Yuanbo Tang +2
Large language model agents can plan, invoke tools, and modify external states, yet most systems still take an explicit user instruction as a fixed starting point. Proactive servic…
Revealing Safety-Critical Scenarios for UTM via Transformer
Huaze Tang, Bill Zeng, Chao Wang +3
Unmanned Traffic Management (UTM) systems are cloud-based platforms designed to manage and coordinate multiple aerial vehicles remotely. UTM systems are safety-critical which canno…
RUMAD: Reinforcement-Unifying Multi-Agent Debate
Chao Wang, Han Lin, Huaze Tang +2
Multi-agent debate (MAD) systems leverage collective intelligence to enhance reasoning capabilities, yet existing approaches struggle to simultaneously optimize accuracy, consensus…